计算机科学 ›› 2017, Vol. 44 ›› Issue (12): 86-89.doi: 10.11896/j.issn.1002-137X.2017.12.017
朱正国,何明星,柳荣其,刘泽民
ZHU Zheng-guo, HE Ming-xing, LIU Rong-qi and LIU Ze-min
摘要： 精确的频谱预测能够有效地降低认知无线电系统的能耗,还有助于提高认知无线电系统的吞吐量。针对频谱预测方法的预测精度问题,提出了一种小波神经网络频谱预测模型,以预测通道占用状态情况。该模型利用离散小波变换产生分析信号的时频分布,使用一个时间序列来表示某子信道的占用状态；对预测精度、利用率和参数初始化之间的权衡进行了分析,以便选择一个近于最优的模型。实验测量结果表明,与基于BP神经网络算法的模型相比,所提模型在预测精度和能耗方面均表现出较优的性能。
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